{"uid":"cap_NrenMA570iSb6XLVxhia3","slug":"geospatial-tile-processing-string-normalisation-daily-sum-series-d5303a92","name":"Geospatial Tile Processing — String Normalisation + Daily Sum Series","description":"Geospatial tile processing — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-21-027?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","tile_count","processing_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"tile_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"processing_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","tile_count":10,"station_group":"group-a","processing_seconds":1},{"date":"2026-10-02","row_id":"row-2","tile_count":20,"station_group":"group-b","processing_seconds":2},{"date":"2026-10-03","row_id":"row-3","tile_count":15,"station_group":"group-a","processing_seconds":3},{"date":"2026-10-04","row_id":"row-4","tile_count":30,"station_group":"group-b","processing_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["tile_count","processing_seconds"],"type":"string","default":"tile_count"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_KITfAOhjvfxlRu0QcK7_O","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs string normalisation and daily sum series analysis on up to 200 geospatial tile processing records (tile_count and processing_seconds fields) and returns two analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a daily sum series on my geospatial tile processing records? I have 4 rows with dates from 2026-10-01 to 2026-10-04, station groups 'group-a' and 'group-b', tile counts of 10, 20, 15, and 30, and processing seconds of 1, 2, 3, and 4 — analyse tile_count.","exampleUseCases":[{"title":"Daily tile throughput aggregation","prompt":"I have a week's worth of tile processing logs — about 150 rows with dates, station groups, tile counts, and processing seconds. Can you give me a daily sum series for tile_count so I can see how many tiles we processed each day?"},{"title":"Station group label cleanup","prompt":"My tile processing dataset has messy station group names like 'Group A', 'group-a', 'GROUP A' across 80 rows. Can you run string normalisation on the station_group field so everything is consistent, and also give me the daily sum series for processing_seconds?"},{"title":"Geospatial pipeline performance review","prompt":"Here are 200 rows from our geospatial rendering pipeline — each row has a date, a station group, tile count, and processing seconds. I need both a string normalisation report on the station groups and a daily sum series for processing_seconds to review performance trends."}],"resultDescription":"Returns two analytical reports for the supplied rows: (1) a string normalisation report on station_group values, and (2) a daily sum series for the selected numeric field (tile_count or processing_seconds), aggregated by date. Up to 200 input rows are supported.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum limit","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, station_group, date, tile_count, processing_seconds)","Invalid field enum value (must be 'tile_count' or 'processing_seconds')","Payment not provided or insufficient — 402 Payment Required","Numeric values outside allowed range (±1,000,000,000,000) — validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular geospatial tile processing data with station group labels and need both string normalisation and daily aggregation in a single low-cost call. It is purpose-built for the tile_count and processing_seconds schema and handles up to 200 rows. Prefer it over general-purpose analytics when the input schema matches exactly and you want two bundled reports for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:43:59.740Z","isFirstParty":false,"canonicalSlug":"geospatial-tile-processing-string-normalisation-daily-sum-series-d5303a92"}